메뉴 건너뛰기




Volumn 6, Issue , 2016, Pages

Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; FLUORESCENCE IMAGING; HORDEUM; PHENOTYPE; PHYSIOLOGICAL STRESS; PHYSIOLOGY; PLANT DISEASE; PROCEDURES;

EID: 84960423826     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep22482     Document Type: Article
Times cited : (106)

References (53)
  • 1
    • 84928745882 scopus 로고    scopus 로고
    • Plant phenotyping: From bean weighing to image analysis
    • Walter, A., Liebisch, F. & Hund, A. Plant phenotyping: from bean weighing to image analysis. Plant Methods 11, 1-11 (2015).
    • (2015) Plant Methods , vol.11 , pp. 1-11
    • Walter, A.1    Liebisch, F.2    Hund, A.3
  • 2
    • 84877682482 scopus 로고    scopus 로고
    • Future scenarios for plant phenotyping
    • Fiorani, F. & Schurr, U. Future scenarios for plant phenotyping. Annu. Rev. Plant Biol. 64, 267-291 (2013).
    • (2013) Annu. Rev. Plant Biol. , vol.64 , pp. 267-291
    • Fiorani, F.1    Schurr, U.2
  • 3
    • 84978922953 scopus 로고    scopus 로고
    • Plant disease detection by imaging sensors-parallels and specifc demands for precision agriculture and plant phenotyping
    • Mahlein, A.-K. Plant disease detection by imaging sensors-parallels and specifc demands for precision agriculture and plant phenotyping. Plant Dis, 100, 241-251 (2016).
    • (2016) Plant Dis , vol.100 , pp. 241-251
    • Mahlein, A.-K.1
  • 4
    • 84921900726 scopus 로고    scopus 로고
    • Metro maps of plant disease dynamics-automated mining of diferences using hyperspectral images
    • Wahabzada, M. et al. Metro maps of plant disease dynamics-automated mining of diferences using hyperspectral images. PLOS One 10, e0116902 (2015).
    • (2015) PLOS One , vol.10 , pp. e0116902
    • Wahabzada, M.1
  • 5
    • 84859099340 scopus 로고    scopus 로고
    • Control of foliar diseases in barley: Towards an integrated approach
    • Walters, D. et al. Control of foliar diseases in barley: Towards an integrated approach. Eur. J. of Plant Pathol. 133, 33-73 (2012).
    • (2012) Eur. J. of Plant Pathol. , vol.133 , pp. 33-73
    • Walters, D.1
  • 6
    • 83055180602 scopus 로고    scopus 로고
    • Phenomics-technologies to relieve the phenotyping bottleneck
    • Furbank, R. T. & Tester, M. Phenomics-technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 16, 635-644 (2011).
    • (2011) Trends Plant Sci. , vol.16 , pp. 635-644
    • Furbank, R.T.1    Tester, M.2
  • 7
    • 84856610548 scopus 로고    scopus 로고
    • Recent advances in sensing plant diseases for precision crop protection
    • Mahlein, A.-K., Oerke, E.-C., Steiner, U. & Dehne, H.-W. Recent advances in sensing plant diseases for precision crop protection. Eur. J. of Plant Pathol. 133, 197-209 (2012).
    • (2012) Eur. J. of Plant Pathol. , vol.133 , pp. 197-209
    • Mahlein, A.-K.1    Oerke, E.-C.2    Steiner, U.3    Dehne, H.-W.4
  • 8
    • 82955239984 scopus 로고    scopus 로고
    • Non-invasive approaches for phenotyping of enhanced performance traits in bean
    • Rascher, U. et al. Non-invasive approaches for phenotyping of enhanced performance traits in bean. Funct. Plant Biol. 38, 968-983 (2011).
    • (2011) Funct. Plant Biol. , vol.38 , pp. 968-983
    • Rascher, U.1
  • 9
    • 0003032927 scopus 로고
    • Exploring the relationship between refectance red edge and chlorophyll content in slash pine
    • Curran, P., Dungan, J. & Gholz, H. Exploring the relationship between refectance red edge and chlorophyll content in slash pine. Tree Physiol. 7, 33-48 (1990).
    • (1990) Tree Physiol. , vol.7 , pp. 33-48
    • Curran, P.1    Dungan, J.2    Gholz, H.3
  • 10
    • 0029804451 scopus 로고    scopus 로고
    • Signature analysis of leaf refectance spectra: Algorithm development for remote sensing of chlorophyll
    • Gitelson, A. & Merzlyak, M. Signature analysis of leaf refectance spectra: algorithm development for remote sensing of chlorophyll. Plant Physiol. 148, 494-500 (1996).
    • (1996) Plant Physiol. , vol.148 , pp. 494-500
    • Gitelson, A.1    Merzlyak, M.2
  • 11
    • 77954223904 scopus 로고    scopus 로고
    • Review of commonly used remote sensing and ground-based technologies to measure plant water stress
    • Govender, M., Dye, P. J., Weiersbye, I. M., Witkowski, E. T. F. & Ahmed, F. Review of commonly used remote sensing and ground-based technologies to measure plant water stress. Water SA 35, 741-752 (2009).
    • (2009) Water SA , vol.35 , pp. 741-752
    • Govender, M.1    Dye, P.J.2    Weiersbye, I.M.3    Witkowski, E.T.F.4    Ahmed, F.5
  • 13
    • 58849086813 scopus 로고    scopus 로고
    • CUR matrix decompositions for improved data analysis
    • Mahoney, M. & Drineas, P. CUR matrix decompositions for improved data analysis. Proc. Natl. A. Sci. 106, 697-702 (2009).
    • (2009) Proc. Natl. A. Sci. , vol.106 , pp. 697-702
    • Mahoney, M.1    Drineas, P.2
  • 14
    • 84861170800 scopus 로고    scopus 로고
    • Probabilistic topic models
    • Blei, D. M. Probabilistic topic models. Commun. ACM 55, 77-84 (2012).
    • (2012) Commun. ACM , vol.55 , pp. 77-84
    • Blei, D.M.1
  • 17
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D. D. & Seung, H. S. Learning the parts of objects by non-negative matrix factorization. Nature 6755, 788-799 (1999).
    • (1999) Nature , vol.6755 , pp. 788-799
    • Lee, D.D.1    Seung, H.S.2
  • 18
    • 0028532769 scopus 로고
    • Archetypal analysis
    • Cutler, A. & Breiman, L. Archetypal analysis. Technometrics 36, 338-347 (1994).
    • (1994) Technometrics , vol.36 , pp. 338-347
    • Cutler, A.1    Breiman, L.2
  • 19
    • 84856594021 scopus 로고    scopus 로고
    • Descriptive matrix factorization for sustainability: Adopting the principle of opposites
    • Turau, C., Kersting, K., Wahabzada, M. & Bauckhage, C. Descriptive matrix factorization for sustainability: Adopting the principle of opposites. Data Min. Knowl. Disc. 24, 325-354 (2012).
    • (2012) Data Min. Knowl. Disc. , vol.24 , pp. 325-354
    • Turau, C.1    Kersting, K.2    Wahabzada, M.3    Bauckhage, C.4
  • 21
    • 41249089920 scopus 로고    scopus 로고
    • On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing
    • Ding, C., Li, T. & Peng, W. On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing. Comput. Stat. Data An. 52, 3913-3927 (2008).
    • (2008) Comput. Stat. Data An. , vol.52 , pp. 3913-3927
    • Ding, C.1    Li, T.2    Peng, W.3
  • 23
    • 20444470294 scopus 로고    scopus 로고
    • Plant disease detection based on data fusion of hyper-spectral and multi-spectral fuorescence imaging using kohonen maps
    • Moshou, D. et al. Plant disease detection based on data fusion of hyper-spectral and multi-spectral fuorescence imaging using kohonen maps. Real-Time Imaging 11, 75-83 (2005).
    • (2005) Real-Time Imaging , vol.11 , pp. 75-83
    • Moshou, D.1
  • 24
    • 84928600188 scopus 로고    scopus 로고
    • Hyperspectral phenotyping on the microscopic scale: Towards automated characterization of plant-pathogen interactions
    • Kuska, M. et al. Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions. Plant Methods 11, 28 (2015).
    • (2015) Plant Methods , vol.11 , pp. 28
    • Kuska, M.1
  • 25
    • 84868684971 scopus 로고    scopus 로고
    • Early drought stress detection in cereals: Simplex volume maximization for hyperspectral image analysis
    • Römer, C. et al. Early drought stress detection in cereals: Simplex volume maximization for hyperspectral image analysis. Funct. Plant Biol. 39, 878-890 (2012).
    • (2012) Funct. Plant Biol. , vol.39 , pp. 878-890
    • Römer, C.1
  • 26
    • 84885980250 scopus 로고    scopus 로고
    • Latent dirichlet allocation uncovers spectral characteristics of drought stressed plants
    • (AUAI Press , Catalina Island, California, USA De N. Freitas, K. M. Ed.)
    • Wahabzada, M. et al. Latent dirichlet allocation uncovers spectral characteristics of drought stressed plants. In de N. Freitas, K. M. (ed.) Proceedings of the 28th Conference on Uncertainty in Artifcial Intelligence, Catalina Island, California, USA, 852-862 (AUAI Press, 2012).
    • (2012) Proceedings of the 28th Conference on Uncertainty in Artifcial Intelligence , pp. 852-862
    • Wahabzada, M.1
  • 27
    • 33847670560 scopus 로고    scopus 로고
    • Hyperspectral remote sensing of plant pigments
    • Blackburn, G. A. Hyperspectral remote sensing of plant pigments. J. Exp. Bot. 58, 844-867 (2007).
    • (2007) J. Exp. Bot. , vol.58 , pp. 844-867
    • Blackburn, G.A.1
  • 28
    • 84864891116 scopus 로고
    • Spectral refectance of healthy and leaf rust-infected barley leaves
    • Teng, P. & Close, R. Spectral refectance of healthy and leaf rust-infected barley leaves. Aust. Plant Pathol. Soc. Newsl. 6, 7-9 (1977).
    • (1977) Aust. Plant Pathol. Soc. Newsl. , vol.6 , pp. 7-9
    • Teng, P.1    Close, R.2
  • 29
    • 0024471201 scopus 로고
    • Changes in leaf spectral properties induced in barley by cereal powdery mildew
    • Lorenzen, B. & Jensen, A. Changes in leaf spectral properties induced in barley by cereal powdery mildew. Remote Sens. Environ. 27, 201-209 (1989).
    • (1989) Remote Sens. Environ. , vol.27 , pp. 201-209
    • Lorenzen, B.1    Jensen, A.2
  • 30
    • 84856072377 scopus 로고    scopus 로고
    • Hyperspectral imaging for small-scale analysis of symptoms caused by diferent sugar beet diseases
    • Mahlein, A.-K., Steiner, U., Hillnhutter, C., Dehne, H.-W. & Oerke, E.-C. Hyperspectral imaging for small-scale analysis of symptoms caused by diferent sugar beet diseases. Plant Methods 8, 3 (2012).
    • (2012) Plant Methods , vol.8 , pp. 3
    • Mahlein, A.-K.1    Steiner, U.2    Hillnhutter, C.3    Dehne, H.-W.4    Oerke, E.-C.5
  • 31
    • 84908530182 scopus 로고    scopus 로고
    • A review of imaging techniques for plant phenotyping
    • Li, L., Zhang, Q. & Huang, D. A review of imaging techniques for plant phenotyping. Sensors 14, 20078-20111 (2014).
    • (2014) Sensors , vol.14 , pp. 20078-20111
    • Li, L.1    Zhang, Q.2    Huang, D.3
  • 32
    • 85028199288 scopus 로고    scopus 로고
    • A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
    • Behmann, J., Mahlein, A.-K., Rumpf, T., Römer, C. & Plümer, L. A review of advanced machine learning methods for the detection of biotic stress in precision crop protection. Precis. Agric. 16, 239-260 (2015).
    • (2015) Precis. Agric. , vol.16 , pp. 239-260
    • Behmann, J.1    Mahlein, A.-K.2    Rumpf, T.3    Römer, C.4    Plümer, L.5
  • 33
    • 84922240808 scopus 로고    scopus 로고
    • Image-based phenotyping of plant disease symptoms
    • Mutka, A. & Bart, R. Image-based phenotyping of plant disease symptoms. Front. Plant Sci. 5, doi: 10.3389/fpls.2014.00734 (2015).
    • (2015) Front. Plant Sci. , vol.5
    • Mutka, A.1    Bart, R.2
  • 34
    • 0037356853 scopus 로고    scopus 로고
    • Relationships between leaf chlorophyll content and spectral refectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
    • Gitelson, A. A., Gritz, Y. & Merzylak, M. N. Relationships between leaf chlorophyll content and spectral refectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. Plant Physiol. 160, 271-282 (2003).
    • (2003) J. Plant Physiol. , vol.160 , pp. 271-282
    • Gitelson, A.A.1    Gritz, Y.2    Merzylak, M.N.3
  • 35
    • 40649110037 scopus 로고    scopus 로고
    • Retrieval of chlorophyll concentration from leaf refectance spectra using wavelet analysis
    • Blackburn, G. A. & Ferwerda, J. G. Retrieval of chlorophyll concentration from leaf refectance spectra using wavelet analysis. Remote Sens. Environ. 112, 1614-1632 (2008).
    • (2008) Remote Sens. Environ. , vol.112 , pp. 1614-1632
    • Blackburn, G.A.1    Ferwerda, J.G.2
  • 36
    • 84958965568 scopus 로고    scopus 로고
    • Improvement of lesion phenotyping in Cercospora beticola-sugar beet interaction by hyperspectral imaging
    • Leucker, M., Mahlein, A.-K., Steiner, U. & Oerke, E.-C. Improvement of lesion phenotyping in Cercospora beticola-sugar beet interaction by hyperspectral imaging. Phytopathology, 106, 177-184 (2016).
    • (2016) Phytopathology , vol.106 , pp. 177-184
    • Leucker, M.1    Mahlein, A.-K.2    Steiner, U.3    Oerke, E.-C.4
  • 37
    • 84868282172 scopus 로고    scopus 로고
    • Pre-symptomatic prediction of plant drought stress using dirichlet-aggregation regression on hyperspectral images
    • Hofmann, J. and Selman, B. (ed.) (AAAI Press
    • Kersting, K. et al. Pre-symptomatic prediction of plant drought stress using dirichlet-aggregation regression on hyperspectral images. In Hofmann, J. and Selman, B. (ed.) Proceedings of the Twenty-Sixth AAAI Conference on Artifcial Intelligence, Toronto, Ontario, Canada, 302-308 (AAAI Press, 2012).
    • (2012) Proceedings of the Twenty-Sixth AAAI Conference on Artifcial Intelligence, Toronto, Ontario, Canada , pp. 302-308
    • Kersting, K.1
  • 38
    • 0042553279 scopus 로고
    • Smoothing and diferentiation of data by simplifed least squares procedures
    • Savitzky, A. & Golay, J. Smoothing and diferentiation of data by simplifed least squares procedures. Anal. Chem. 36(8), 1627-1639 (1964).
    • (1964) Anal. Chem. , vol.36 , Issue.8 , pp. 1627-1639
    • Savitzky, A.1    Golay, J.2
  • 43
    • 0028150408 scopus 로고
    • Spectral refectance changes associate with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. Leaves. Spectral features and relation to chlorophyll estimation
    • Gitelson, A. A. & Merzlyak, M. N. Spectral refectance changes associate with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. J. Plant Physiol. 143, 286-292 (1994).
    • (1994) J. Plant Physiol. , vol.143 , pp. 286-292
    • Gitelson, A.A.1    Merzlyak, M.N.2
  • 44
    • 0032815356 scopus 로고    scopus 로고
    • Assessing leaf pigment content and activity with a refectometer
    • Gamon, J. A. & Surfus, J. S. Assessing leaf pigment content and activity with a refectometer. New Phytol. 143, 105-117 (1999).
    • (1999) New Phytol. , vol.143 , pp. 105-117
    • Gamon, J.A.1    Surfus, J.S.2
  • 45
    • 0032055821 scopus 로고    scopus 로고
    • Visible and near-infrared refectance techniques for diagnosing plant physiological status
    • Penuelas, J. & Filella, I. Visible and near-infrared refectance techniques for diagnosing plant physiological status. Trends Plant Sci. 3, 151-156 (1998).
    • (1998) Trends Plant Sci. , vol.3 , pp. 151-156
    • Penuelas, J.1    Filella, I.2
  • 46
    • 0028669120 scopus 로고
    • Early detection of plant stress by digital imaging with narrow stress-sensitive wavebands
    • Carter, G. A. & Miller, R. L. Early detection of plant stress by digital imaging with narrow stress-sensitive wavebands. Remote Sens. Environ. 50, 295-302 (1994).
    • (1994) Remote Sens. Environ. , vol.50 , pp. 295-302
    • Carter, G.A.1    Miller, R.L.2
  • 47
    • 0033004343 scopus 로고    scopus 로고
    • Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening
    • Merzlyak, M. N., Gitelson, A. A., Chivkunova, O. B. & Rakitin, V. Y. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiol. Plantarum 106, 135-141 (1999).
    • (1999) Physiol. Plantarum , vol.106 , pp. 135-141
    • Merzlyak, M.N.1    Gitelson, A.A.2    Chivkunova, O.B.3    Rakitin, V.Y.4
  • 50
    • 0000260873 scopus 로고    scopus 로고
    • Leaf optical properties in higher plants: Linking spectral characteristics to stress and chlorophyll concentration
    • Carter, G. A. & Knapp, A. K. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. Am. J. Bot. 88, 677-684 (2001).
    • (2001) Am. J. Bot. , vol.88 , pp. 677-684
    • Carter, G.A.1    Knapp, A.K.2
  • 52
    • 0036330345 scopus 로고    scopus 로고
    • Relationship between leaf pigment content and spectral refectance across a wide range of species, leaf structures and developmental stages
    • Sims, D. A. & Gamon, J. A. Relationship between leaf pigment content and spectral refectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 81, 337-354 (2002).
    • (2002) Remote Sens. Environ. , vol.81 , pp. 337-354
    • Sims, D.A.1    Gamon, J.A.2
  • 53
    • 0032030358 scopus 로고    scopus 로고
    • Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves
    • Blackburn, G. A. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves. Int. J. Remote Sens. 19, 657-675 (1998).
    • (1998) Int. J. Remote Sens. , vol.19 , pp. 657-675
    • Blackburn, G.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.